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CloudFactory

AI-assisted data labeling and processing services

Construction Reality Capture Technician

Architecture & Civil EngineeringUpdated on Nov 11
Part-timeEagle Mountain, UT, USANo salary listed

About the Job

Requirements

  • Availability for four full weekdays: Monday, Tuesday, Wednesday, and Friday.
  • Availability to work 8 to 10 hours each day.
  • Comfort working on active construction sites and in varying outdoor conditions.
  • Ability to walk long distances and perform physical tasks throughout the day.
  • Strong communication skills and commitment to safety awareness, including the ability to identify and follow general and site- or client-specific protocols.
  • A valid OSHA 10 certification before the first on-site day; training support is provided if the candidate is not already certified.
  • Steel-toed safety boots are mandatory at all times.
  • Ability to wear full personal protective equipment, including a hard hat, boots, and high-visibility clothing, walk more than 20,000 steps a day, and work outdoors regardless of weather.
  • Reliability, punctuality, and physical activity suited to critical data capture on active construction sites.

Responsibilities

  • Operate 360-degree cameras and other surveying equipment to efficiently capture construction sites.
  • Document and communicate the progress of work being done on-site.
  • Follow safety protocols and guidelines to protect personal safety and the safety of the site and equipment.
  • Collaborate with the Project Team to adapt to each project's needs and requirements.
  • Perform capture work at large-scale construction sites in Eagle Mountain.
  • Capture high-quality, systematic data according to a strict technical brief.

Desired Qualifications

  • Experience in construction, surveying, civil engineering, or similar fields.
  • Previous fieldwork or site-based work experience.
  • Technical orientation or familiarity with equipment.

About the Company

CloudFactory

AI-assisted data labeling and processing services

CloudFactory provides data labeling and data processing services using a managed workforce combined with AI-assisted labeling. It handles text, audio, and image annotation and specializes in financial document processing, healthcare AI data, retail automation, and geospatial AI initiatives. Clients can use CloudFactory’s platform to manage annotation work or integrate it with their own tools, enabling scalable, high-quality data for training AI models. The company differentiates itself through its large, experienced workforce (25+ million hours of data work) and its ability to deliver accurate labels five times faster than traditional methods, with faster turnaround and cost efficiency. Its goal is to help clients accelerate AI development and bring AI-powered solutions to market more quickly while optimizing business operations and reducing costs.

Company size
1,001-5,000
Company stage
Early VC
Total funding
$78M
Headquarters
Durham, NC
Founded
2010

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